Data Science relies on the massive volumes of diverse data generated from all forms of human activity and interaction with the environment to make decisions and to solve problems. Traditional methods for managing and processing data have been scaled to address its growth, but new approaches are required to deal with these heterogeneous, high velocity, very large data sources of varying quality, coverage, and semantics. There are challenges at every stage. Addressing these challenges requires innovations in a wide range of computing sub-disciplines, from computer architecture to human computer interaction, and from data analytics to recommendations. ACM Transactions on Data Science (TDS) will serve as the premier forum for describing and advancing the state of the art on this important topic.

Scope

The scope of the TDS includes cross-disciplinary innovative research ideas, algorithms, systems, theory and applications for data science. Papers that address challenges at every stage, from acquisition on, through data cleaning, transformation, representation, integration, indexing, modeling, analysis, visualization, and interpretation while retaining privacy, fairness, provenance, transparency, and provision of social benefit, within the context of big data, fall within the scope of the journal.

The objective of the journal is to provide a forum for cross-cutting research results that contribute to data science. Papers that address core technologies without clear evidence that they propose multi/cross-disciplinary technologies and approaches designed for management and processing of large volumes of data, and for data-driven decision making will be out of scope of this journal.

Editor-in-Chief
Beng Chin Ooi, National University of Singapore

Senior Associate Editors
Mike Franklin, University of Chicago
H.V. Jagadish, University of Michigan
Hong Mei, Beijing Institute of Technology and Peking University
Renée J. Miller, University of Toronto
Jeannette M. Wing, Columbia University

Welcome to our 4th annual Big Data Conference at Linnaeus University hosted by the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) in Växjö, November 29-30, 2018. Detailed information on the conference can be found on the following web page.

For the session on research results of LNUC DISA, we invite submissions from DISA researchers to present their academically outstanding, previously published work at the Big Data Conference 2018. Submission deadline: Nov 12, 2018

Acceptance requirements:
(i) The underlying paper has been published in an excellent journal or conference proceedings not longer than two years before the conference.
(ii) The topic of the work is clearly related to data-intensive sciences and applications.
(iii) At least one of the co-authors is a DISA researcher.
(iv) At least one of the co-authors registers for the conference and attends the conference to give a presentation about the paper.

Note, that the paper will not be part of any proceedings or similar. As the planned session has only a restricted number of slots, we have to select according to a number of criteria, such as scientific quality, fitting into the DISA research aims, topical diversity (for example, not all talks on visualization or computational social sciences), etc. Therefore, we ask the submitters to carefully choose those papers and submit only one or maximal two papers of their work.

Information on these papers should be submitted via email to Diana Unander (diana.unander@lnu.se) containing: list of co-authors (DISA researcher(s) should be marked), title, abstract and venue/journal where the papers originally appeared together with a link where the paper can be downloaded. The deadline is November 12, 2018. We expect to notify about the acceptance at Nov 16, 2018.

The 4th Big Data Conference at Linnaeus University Växjö, November 29-30, 2018

Poster submission deadline: November 16, 2018

Welcome to our 4th annual Big Data Conference at Linnaeus University hosted by the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA). Detailed information on the conference can be found on the following web page.

For the poster sessions during lunch at the first conference day, we invite poster submissions coming from DISA researchers and their PhD students. We ask for posters on research done/related within/to the DISA research groups (e.g., unpublished work, posters already presented at other conferences, etc.).

Note that the posters will not be part of any proceedings or similar, and that it is required that somebody will be at each poster during the poster session of the conference to take questions. It will also be possible to demo stuff nearby to the poster (should be mentioned in the poster submission).

All posters should be designed and finally printed in A0, upright (portrait format); no further layout requirements are provided from our side, but a name of a contact person + email address, or a QR code, or something similar should be provided on the poster to allow people to get in touch with the authors.

A PDF version of the poster plus a short abstract (separate PDF file; maximal half page) should be submitted via email to Diana Unander (diana.unander@lnu.se) by November 16, 2018. We expect to notify about the acceptance eventually together with comments for minor adjustments at November 20, 2018. Please remember that you also need some time after the notification to actually print the poster: The CopyCenter usually needs a couple of days for such tasks.

Abstract: Commons are governance regimes set-up to coordinate the exploitation of natural or man-made resources shared among different users. Understanding commons is important as the underlying social dilemma situation may lead to resource overuse and ultimately depletion if not appropriately managed. However, long-term processes of rule change in commons institutions are poorly understood. We present a quantitative analysis of 18 European commons across seven centuries offering an unique picture of long-term institutional dynamics. The analysis relies on the database recently built as part of the Common Rules Project. This database includes over 5000 detailed rules defining commons institutions and recording their changes across several centuries. Despite the differences in time and space, we found a shared pattern where an initial, highly-dynamic institutional-definition phase is followed by a relatively long period of stability and a final burst of changes, possibly in an attempt to respond to internal or external factors menacing the survival of the commons. Our findings not only challenge some elements of the current view on institutional dynamics but also provide important insights on the management of natural resources worldwide and how commons being formed today may be expected to evolve.

Welcome to Digitala veckan on November 15-16th in Växjö. Researchers at Linnaeus University with a focus on DISA has been invited to give a special session on Data analytics and what new value the data can give you. Detailed information on the conference can be found on the following web page:

For the special session Data Analytics and what new value the data can give you we invite submissions from DISA researchers (4 in total, 1-2 PhD-students) to present their research findings that can be of interest for an external audience, based on collaborations etc.

Acceptance requirements:
(i) The underlying paper has been published not longer than two years before the conference.
(ii) The topic of the work is clearly related to data-intensive sciences and applications.
(iii) At least one of the authors is a DISA researcher.
(iv) At least one of the authors registers for the conference and attends the conference to give a presentation about the paper. Read the rest of this entry »

Welcome to a Digital Humanities Day with Frank Fischer, Associate Professor for Digital Humanities at the Higher School of Economics, Moscow, and co-director of DARIAH-EU. Frank Fischer will talk about his own research on digital perspectives for the study of European Drama as well as DARIAH:s work for the Pan-European Infrastructure for the Arts and Humanities.

Programme10.00-11.00 “Masks and Interfaces – Digital Perspectives for the Study of European Drama” * See abstract below.11.00-13.00 Lunch13:00-14.00 “A Social Marketplace for Services – Introduction to DARIAH, the Pan-European Infrastructure for the Arts and Humanities”14.00-14.30 Coffee14.30-15.30 Discussion

* Abstract: The digital literary studies have offered a lot of new approaches to the study of drama in recent years. New methods like social network analysis, stylometry and other quantitative and statistical approaches are complemented by a rich landscape of literary data in many languages and formats. This talk will recap these developments, oscillating between research and infrastructure, and introduce a platform for the research on European drama.

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On September 19 at 10:00-11:30 Linnaeus University will be visited by Paul Henriques from IEEE (Institute of Electrical and Electronics Engineers). Paul will host a seminar on the topic “How to get published with IEEE”:

Increase the visibility of your research and build author credibility by publishing in a leading IEEE journal or conference. Learn how to identify the best journal or conference for your work and navigate the IEEE paper submission and peer review process. Review the required elements and proper structure of a manuscript to avoid reasons why papers may be rejected.

The presentation is in English. The seminar takes place in Växjö (location: Babel at the University Library) but will also be streamed to Kalmar (location: UB296A at the University Library).

We have been asked to invite you to attend and participate in SweDS2018 (the 6th Swedish Workshop on Data Science). The workshop takes place at Umeå University, November 20-21, 2018. The abstract submission deadline is October 13, 2018 for contributed oral presentations.

The Swedish Workshops on Data Science (SweDS) allow members of a community with common interests to meet in the context of a focused and interactive discussion. SweDS 2018, the sixth Swedish Workshop on Data Science, brings together researchers, practitioners, and opinion leaders with interest in data science. The goal is to further establish this important area of research and application in Sweden, foster the exchange of ideas, and to promote collaboration. Read the rest of this entry »

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The organizers of the Computational Archival Science (CAS) Workshop at IEEE Big Data 2018 have issued a formal call for papers. This is the 3rd workshop at IEEE Big Data addressing CAS, following on from workshops in 2016 and 2017. All papers accepted for the workshop will be included in the Conference Proceedings published by the IEEE Computer Society Press, made available at the conference, which takes place Dec. 10-13, 2018 in Seattle, WA, USA.

The workshop will explore the conjunction (and its consequences) of emerging methods and technologies around big data with archival practice and new forms of analysis and historical, social, scientific, and cultural research engagement with archives. We aim to identify and evaluate current trends, requirements, and potential in these areas, to examine the new questions that they can provoke, and to help determine possible research agendas for the evolution of computational archival science in the coming years. At the same time, we will address the questions and concerns scholarship is raising about the interpretation of “big data” and the uses to which it is put, in particular appraising the challenges of producing quality (meaning, knowledge and value) from quantity, tracing data and analytic provenance across complex “big data” platforms and knowledge production ecosystems, and addressing data privacy issues.
Important dates:

Oct 8, 2018: Due date for full workshop papers submission

Oct 29, 2018: Notification of paper acceptance to authors

Nov 15, 2018: Camera-ready of accepted papers

Dec 10 – 13, 2018: Workshop [exact date TBD]

See the full workshop CFP to learn more, including suggested research topics and submission instructions.

We are not offering you a second chance to take the PhD-course in Applied Machine Learning this fall.

Course content:

Data mining and machine learning is an area within computer science with the goal of bringing meaning to and learning from data. This course mixes theory and practice, with a focus on applied machine learning where we learn what algorithms and approaches to apply on different types of data.

The course includes the following:

Supervised learning, different types of data and data processing

Algorithms for handling text documents

Algorithms for handling data with numerical and categorical attributes

Neural Networks

Deep Learning for image recognition

Timetable

The course will start on Tuesday October 9th and finish by the end of the semester.

Registration

The registration needs to be finalized no later than September 19th 2018

About the DISA-blog

Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) focuses its efforts on open questions in collection, analysis and utilization of large data sets. With its core in computer science, it takes a multidisciplinary approach and collaborates with researchers from all faculties at the university.
This is our blog where we share our ongoing work.